Method for at least partially autonomously driving a motor vehicle as well as motor vehicle

Abstract

For at least partially autonomously driving the motor vehicle, a (second) large language model is interposed to a used artificial intelligence (formed as a first large language model). In this manner, it is possible, to pose queries to the user, who can actively change driving of the motor vehicle via the second large language model. Herein, it can be provided that the artificial intelligence (the first large language model) is exactly not retrained.

1 . A method for at least partially autonomously driving a motor vehicle, comprising:
 providing a first large language model in the motor vehicle and a second large language model;   driving the motor vehicle by way of the first large language model;   receiving a first voice input by the second large language model; and   in at least one query iteration, outputting a query by the second large language model and receiving an input in response to the query;   after a last query iteration, transferring an instruction output by the second language large model to the first large language model; and   driving the motor vehicle based on an instruction output by the first large language model.   
     
     
         2 . The method according to  claim 1 , wherein the second large language model is provided in the motor vehicle. 
     
     
         3 . The method according to  claim 1 , wherein the input received in response to the query is a further voice input. 
     
     
         4 . The method according to  claim 1 , further comprising:
 receiving an input which confirms that the driving of the motor vehicle by the first large language model sufficiently complies with previous inputs in an opinion of an inputting person.   
     
     
         5 . The method according to  claim 4 , wherein the input which confirms that the driving of the motor vehicle by the first large language model sufficiently complies with previous inputs is a manual input. 
     
     
         6 . The method according to  claim 1 , further comprising:
 receiving an input that revokes previous inputs, wherein a return to a driving style effected by the first large language model is caused before receiving the first voice input.   
     
     
         7 . The method according to  claim 6 , wherein the input that revokes previous inputs is a manual input. 
     
     
         8 . The method according to  claim 1 , further comprising:
 effecting an automatic supervision, based on sensor data of sensors of the motor vehicle, that determines whether implementation of the instruction output by the first large language model sufficiently complies with certain conditions.   
     
     
         9 . The method according to  claim 8 , wherein the automatic supervision determines whether implementation of the instruction output by the first large language model is in sufficient compliance with the inputs by an inputting person and/or is in compliance with practical circumstances. 
     
     
         10 . The method according to  claim 1 , wherein the first large language model is trained with training data, and the method further comprises:
 receiving an instruction that instructs a change of a previous driving style according to driving by the first large language model; and   implementing the instruction that instructs the change of the previous driving style according to driving by the first large language model,   wherein, after a lapse of time and/or after termination of a driving situation and/or due to a user input, the change instructed by the instruction is canceled and an entirety of the training data remains unchanged.   
     
     
         11 . A motor vehicle, comprising:
 a control device that, in operation, implements at least partially autonomous driving of the motor vehicle, wherein the control device includes a first large language model that, in operation, receives instructions in language form and, based on the instructions, outputs control commands for further devices of the motor vehicle;   a first interface that, in operation, receives voice inputs; and   a second interface to the control device,   wherein the first interface and the second interface, in operation, are coupled to a second large language model associated with the motor vehicle or external to the motor vehicle, such that the voice inputs received via the first interface are converted into instructions transferred to the control device via the second interface.   
     
     
         12 . The motor vehicle according to  claim 11 , wherein the second large language model is a part of the motor vehicle, and wherein the second large language model, in operation, outputs a query via the first interface in at least one query iteration and receives an input in response to the query, via the first interface, before an instruction is transferred to the control device via the second interface. 
     
     
         13 . The motor vehicle according to  claim 12 , wherein the input received in response to the query is one of the voice inputs. 
     
     
         14 . The motor vehicle according to  claim 10 , further comprising:
 a manual input device that, in operation, confirms or denies input in a query iteration and/or confirms that driving the motor vehicle by the first large language model sufficiently complies with previous inputs in an opinion of an inputting person and/or revokes the previous inputs and causes a return to a driving style effected by the first large language model before a first one of the voice inputs is received.   
     
     
         15 . The motor vehicle according to  claim 10 , further comprising:
 a supervising device that, in operation, receives data from sensors of the motor vehicle, and examines if an instruction transferred to the control device can be currently implemented.   
     
     
         16 . The motor vehicle according to  claim 15 , wherein the supervising device, in operation, transfers correcting instructions to the first large language model. 
     
     
         17 . The motor vehicle according to  claim 11 ,
 wherein the first large language model is trained with training data,   wherein the first large language model, in operation, receives an instruction that causes a previous driving style according to driving by the first large language model to be changed and implements the instruction, and   wherein the first large language model remains unchanged with respect to an entirety of the training data after implementation of the instruction.   
     
     
         18 . The motor vehicle according to  claim 17 , wherein the instruction is in language form.